Optimal Design of Steering Geometry Using Genetic Algorithm Based on Binomial Weight Function

Jin Hai Wang; Jian Wei Yang; Wan He Zhu

doi:10.4028/www.scientific.net/AMR.850-851.363

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 850-851Optimal Design of Steering Geometry Using Genetic...

Optimal Design of Steering Geometry Using Genetic Algorithm Based on Binomial Weight Function

Abstract:

For integral steering geometry, its spatial structure rationally is simplified. Based on it, mathematical model of integral front steering geometry that is similar with the reality of elastic tires is built. For ensuring design variables, the target function model is established by the inner wheel steering angle of rotation absolute error and binomial weight function. And the problem is optimized using the Genetic Algorithm in MATLAB. Finally, optimization algorithm is verified by a real example of optimization of econopower car.

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Periodical:

Advanced Materials Research (Volumes 850-851)

Pages:

363-367

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.850-851.363

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Online since:

December 2013

Authors:

Jin Hai Wang, Jian Wei Yang*, Wan He Zhu

Keywords:

Binomial Weight Function, Genetic Algorithm (GA), Integral Front Steering Geometry, Optimal Design

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* - Corresponding Author

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